Triple
T13335574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Macdonald-Stewart Building |
E317682
|
entity |
| Predicate | supportsProgramIn |
P35060
|
FINISHED |
| Object | agricultural sciences |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: agricultural sciences | Statement: [Macdonald-Stewart Building, supportsProgramIn, agricultural sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProgramIn Context triple: [Macdonald-Stewart Building, supportsProgramIn, agricultural sciences]
-
A.
supportsProgramType
chosen
Indicates that one entity is capable of handling, offering, or being compatible with a specified type of program.
-
B.
supportsProgrammesOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s programmes operate or succeed.
-
C.
supportProgram
Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
-
D.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
E.
supportsProject
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s project succeed.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cff44e08190b9583baf0b626e42 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:30 p.m.